Table 2 Description of the methods included in the benchmark
Method | Description |
|---|---|
ProQ2 (S) | Support Vector Machine trained to predict S-score |
ProQ∗ (S) | Neural network trained on structural features to predict LGscore [15] and S-score [9]. |
QMEAN (S) | Potential of mean force, top-ranked single MQAP in CASP8 and CASP9 [18] |
MetaMQAP (S) | Neural network trained on the output from primary MQAPs [16] |
Distill_NNPIF (S) | Neural network trained on CA-CA interactions [25] |
ConQuass (S) | Correlates conservation and solvent accessibility, only global [10] |
MULTICOM-CMFR (S) | Top-ranked single MQAP in CASP8, only global [17]. |
QMEANclust (C) | QMEAN-weighted GDT_TS averaging, top-ranked consensus method MQAP in CASP8 and CASP9 [23]. |
ProQ2+Pcons (C) | Linear combination of ProQ2 and Pcons scores, 0.2ProQ2+0.8Pcons |